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Model Selection for CART Regression Trees [PDF]

IEEE Transactions on Information Theory, 2005
12 pagesInternational audienceThe performance of the Classification And Regression Trees (CART) pruning algorithm and the final discrete selection by test-sample as a functional estimation procedure are considered. The validation of the pruning procedure
Nédélec, Elodie, Gey, Servane
exaly   +2 more sources

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Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules

Clinical Endocrinology, 2009
SummaryObjective  Biochemical measures for assessment of insulin resistance are not cost‐effective in resource‐constrained developing countries. Using classification and regression tree (CART) and multivariate logistic regression, we aimed to develop simple predictive decision models based on routine clinical and biochemical parameters to predict ...
Ruchika, Goel, Anoop, Misra, Dimple, Kondal, Ravindra M, Pandey, Naval K, Vikram, Jasjeet S, Wasir, Vibha, Dhingra, Kalpana, Luthra   +7 more
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A Comparative Predictive Analysis of Neural Networks (NNs), Nonlinear Regression and Classification and Regression Tree (CART) Models

Expert Systems With Applications, 2005
Numerous articles comparing performances of statistical and Neural Networks (NNs) models are available in the literature, however, very few involved Classification and Regression Tree (CART) models in their comparative studies. We perform a three-way comparison of prediction accuracy involving nonlinear regression, NNs and CART models using a ...
Muhammad A. Razi, Kuriakose Athappilly
exaly   +2 more sources

Classification And Regression Tree analysis (CART) with Stata [PDF]

, 2002
Classification and Regression Tree analysis can be applied for the identification and assessment of prognostic factors in clinical research. It involves repeated subdivisions of a group of subjects on the basis of the choice of optimal cutpoints of binary, ordinal or continuous covariates, that maximizes a certain split criterion.
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Using classification and regression trees (CART) to support worker decision making

Social Work Research, 2002
Several approaches can be taken to predict case membership in the classes of a dependent variable. Classification and regression trees (CART) analysis has been cited repeatedly as a powerful nonparametric approach in fields where classification or prediction are of concern.
M. A. Johnson, C. H. Brown, S. J. Wells
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TBM performance estimation using a classification and regression tree (CART) technique

Bulletin of Engineering Geology and the Environment, 2016
With widespread increasing applications of mechanized tunneling in almost all ground conditions, prediction of tunnel boring machine (TBM) performance is required for time planning, cost control and choice of excavation method in order to make tunneling economical.
Alireza Salimi, Roohollah Shirani Faradonbeh, Masoud Monjezi, Christian Moormann   +3 more
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Combining loglinear model with classification and regression tree (CART): an application to birth data

Computational Statistics & Data Analysis, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Classification and regression trees (CART) in psychiatric screening, diagnosis and subgroup analysis

2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Predictive Accuracy of Classification and Regression Trees (CART) Versus Conjoint Analysis

2014
Recently,.statisticians have developed a search methodology called Classification and Regression Trees (CART) for classifying and/ or predicting reponses to a set of multivariate predictors. CART is a sophisticated and markedly expanded successor to Automatic Interaction Detection.
Paul E. Green, Jinho Kim, Bruce Shandler
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Analysis of Maryland poisoning deaths using classification and regression tree (CART) analysis.

AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010
Our study is a cross-sectional analysis of Maryland poisoning deaths for years 2003 and 2004. We used Classification and Regression Tree (CART) methodology to classify undetermined intent Maryland poisoning deaths as either unintentional or suicidal poisonings.
Carol Pamer, Tracey Serpi, Joseph Finkelstein   +2 more
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